DS Wizard and its Use
This training gives an overview and explains what is the purpose of smart data management plans as living documents, core ideas behind [Data Stewardship Wizard](https://ds-wizard.org), and how to use it in practice. Furthermore, it shows the versability of DSW, its top-notch features that make...
Scientific topics: Data management
Keywords: DMP, DMP tools, data stewardship, FAIR, FAIR data
Resource type: Presentation
DS Wizard and its Use
https://www.natur.cuni.cz/eng/aktuality/seminar-data-management-plan?set_language=en
http://tess.elixir-uk.org/materials/ds-wizard-and-its-use
This training gives an overview and explains what is the purpose of smart data management plans as living documents, core ideas behind [Data Stewardship Wizard](https://ds-wizard.org), and how to use it in practice. Furthermore, it shows the versability of DSW, its top-notch features that make data management planning easier and more efficient, as well as possibilities of customization and integrations with other systems in institutions.
Tereza Machačová
Vojtěch Knaisl
Jan Slifka
Data management
DMP, DMP tools, data stewardship, FAIR, FAIR data
Researchers
data stewards
A Gentle Introduction to DSW for Convergers
[Data Stewardship Wizard](https://ds-wizard.org) brings together data stewards and researchers to efficiently compose data management plans (DMPs) for their research projects. Data stewards capture their knowledge and expertise in so-called knowledge models that are turned into smart...
Scientific topics: Data governance, Data management
Keywords: Data managment plan, data stewardship, data management, software tools
Resource type: Video, Slides, Webinar
A Gentle Introduction to DSW for Convergers
http://doi.org/10.5281/zenodo.4452655
http://tess.elixir-uk.org/materials/a-gentle-introduction-to-dsw-for-convergers
[Data Stewardship Wizard](https://ds-wizard.org) brings together data stewards and researchers to efficiently compose data management plans (DMPs) for their research projects. Data stewards capture their knowledge and expertise in so-called knowledge models that are turned into smart questionnaires filled by researchers. They can then export their answers to human-readable documents following the well-known templates such as Science Europe or Horizon 2020; or machine-actionable files for further processing.
Jan Slifka
Data governance
Data management
Data managment plan, data stewardship, data management, software tools
data managers
Researchers
data stewards
Data Stewardship Wizard Workshop (Feb 2020)
[Data Stewardship Wizard](ds-wizard.org) brings together data stewards and researchers to allow managing data in projects efficiently and in a FAIR manner. Data stewards can easily capture the knowledge including required project data and decisions in knowledge models that are then turned into...
Scientific topics: Data management, Data governance
Keywords: Data management plan, data stewardship, FAIR, data management, software tools
Resource type: Video, Webinar, Slides
Data Stewardship Wizard Workshop (Feb 2020)
https://doi.org/10.5281/zenodo.3689221
http://tess.elixir-uk.org/materials/data-stewardship-wizard-workshop-feb-2020
[Data Stewardship Wizard](ds-wizard.org) brings together data stewards and researchers to allow managing data in projects efficiently and in a FAIR manner. Data stewards can easily capture the knowledge including required project data and decisions in knowledge models that are then turned into per-project questionnaires to be filled by researchers. This workshop explains the core functionality of the Data Stewardship Wizard.
Video recording from the workshop is available **[here](https://www.youtube.com/watch?v=aGpr6JFMuiE)**.
Jan Slifka
Data management
Data governance
Data management plan, data stewardship, FAIR, data management, software tools
Researchers
data stewards
TGAC Metagenomics: From bench to data analysis
This course took place at TGAC on 8-12 September 2014
What is the workshop about?
A substantial part of the course will be devoted to bioinformatics resources and tools relevant in metagenomics data analysis. Participants will start at the bench and end in front of the computers for a problem...
Scientific topics: Metagenomics
Keywords: Metagenomics
TGAC Metagenomics: From bench to data analysis
https://www.mygoblet.org/training-portal/materials/tgac-metagenomics-bench-data-analysis
http://tess.elixir-uk.org/materials/tgac-metagenomics-from-bench-to-data-analysis
This course took place at TGAC on 8-12 September 2014
What is the workshop about?
A substantial part of the course will be devoted to bioinformatics resources and tools relevant in metagenomics data analysis. Participants will start at the bench and end in front of the computers for a problem solving activity utilizing the bioinformatics training they will be receiving during the course.
What will it cover?
To provide an overview of the main aspects involved in metagenomics from the bench to data analysis and discussion around the interpretation and actual examples of the impact and applications of metagenomics derived research
Target Audience:
This course is aimed at advanced PhD students and post-doctoral researchers who are doing or planning to start research in the field of metagenomics.
Maria Victoria ...
Metagenomics
Metagenomics
PhD
postdocs
2015-06-25
2017-10-09
TGAC_SeqAhead: NGS current challenges and data analysis for plant researchers
Hands on course held at TGAC (http://www.tgac.ac.uk/) on Monday 19 to Friday 23 May 2014
What is this workshop about?
The course will combine lectures and led discussions to identify key challenges, opportunities and bottlenecks, with practical session on:
Automated and standardized data...
Scientific topics: Sequence analysis, Plant biology, Database management, Bioinformatics
Keywords: Ngs, Ngs bioinformatics, Plants bioinformatics
TGAC_SeqAhead: NGS current challenges and data analysis for plant researchers
https://www.mygoblet.org/training-portal/materials/tgacseqahead-ngs-current-challenges-and-data-analysis-plant-researchers
http://tess.elixir-uk.org/materials/tgac_seqahead-ngs-current-challenges-and-data-analysis-for-plant-researchers
Hands on course held at TGAC (http://www.tgac.ac.uk/) on Monday 19 to Friday 23 May 2014
What is this workshop about?
The course will combine lectures and led discussions to identify key challenges, opportunities and bottlenecks, with practical session on:
Automated and standardized data analysis for plant species data
Data quality checks
Estimation of reproducibility
Batch effects
Statistical concepts
Importance of standards
Data formats
Data integration
What will I learn?
To discuss and reflect on best practice of experimental design and control for using NGS technologies in their context of addressing biological questions
Identify key challenges, opportunities and bottlenecks
Offering a platform for discussion and exploration of the challenges in plant research with a particular emphasis for agri-bioinformatics
Maria Victoria ...
Sequence analysis
Plant biology
Database management
Bioinformatics
Ngs, Ngs bioinformatics, Plants bioinformatics
PhD students
plant researchers
post-docs
2015-06-22
2017-10-09
Next Generation Sequencing (NGS) wikibook
Next generation sequencing (NGS) has become a commodity. With the commercialization of various affordable desktop sequencers, NGS will be of reach by more traditional wet-lab biologists . As seen in recent years, genome-wide scale computational analysis is increasingly being used as a backbone to...
Keywords: Bioinformatics, Next generation sequencing, Ngs
Next Generation Sequencing (NGS) wikibook
https://www.mygoblet.org/training-portal/materials/next-generation-sequencing-ngs-wikibook
http://tess.elixir-uk.org/materials/next-generation-sequencing-ngs-wikibook
Next generation sequencing (NGS) has become a commodity. With the commercialization of various affordable desktop sequencers, NGS will be of reach by more traditional wet-lab biologists . As seen in recent years, genome-wide scale computational analysis is increasingly being used as a backbone to foster novel discovery in biomedical research. However, as the quantities of sequence data increase exponentially, the analysis bottle-neck is yet to be solved.
The current sources for NGS informatics are extremely fragmented. A novice could read review articles in various journals, follow discussion threads on forums such as Biostar[1] or SEQanswers [2], or sign up for courses organized by various institutes. Finding a centralized synthesis is much more difficult. Books are available, but the development of the field is so fast that book chapters risk being obsoleted by the time they are even printed. Moreover, cost for a handful of authors to continually update their text would presumably take up a lot of their schedule.
Drawing from the obvious goodwill and community spirit displayed on discussion forums, and exploiting the collaborative tools made available by the Wikimedia foundation, we propose to initiate the editing of a collaborative WikiBook on NGS. Our plan is to collect a sufficient amount of text that people will be incentivized to contribute to it, essentially providing the same information as a forum but in a tidier form. Ultimately, our goal is to create a collective lab book that explains the key concepts and describes best practices in NGS.
Parnell LD, Lindenbaum P, Shameer K et al. BioStar: an online question & answer resource for the bioinformatics community, PLoS Comput Biol 2011;7:e1002216.
Li JW, Schmieder R, Ward RM et al. SEQanswers: an open access community for collaboratively decoding genomes, Bioinformatics 2012;28:1272-1273
Join this initiative now and contribute to further expand and improve the contents and case studies in the NGS wikibook!
Read about this initiative and the nine rules for NGS data analysis here: The NGS WikiBook: a dynamic collaborative online training effort with long-term sustainability
Maria Victoria ...
Bioinformatics, Next generation sequencing, Ngs
Biologists
bioinformaticians
computational scientists
2013-07-15
2017-10-09